Aligning the free-energy principle with Peirce’s logic of science and economy of research
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Bellucci, F., & Pietarinen, A.-V. (2016). The iconic moment: Towards a theory of diagrammatic imagination. In J. Redmond (Ed.), Epistemology, knowledge and the impact of interaction (pp. 463–481). Springer.
Bellucci, F., Pietarinen, A.-V. (2020a). Peirce on the justification of abduction. Studies in History and Philosophy of Science A, 84, 12–19. https://doi.org/10.1016/j.shpsa.2020.04.003
Bellucci, F., & Pietarinen, A.-V. (2020b). Icons, interrogations, and graphs: On Peirce's integrated notion of abduction. Transactions of the Charles S. Peirce Society, 56(1), 43–61.
Beni, M. D. (2018a). The reward of unification: A realist reading of the predictive processing theory. New Ideas in Psychology, 48, 21–26. https://doi.org/10.1016/j.newideapsych.2017.10.001
Beni, M. D. (2018b). Syntactical informational structural realism. Minds and Machines, 28(4), 623–643. https://doi.org/10.1007/s11023-018-9463-8
Beni, M. D. (2019a). Cognitive structural realism: A radical solution to the problem of scientific representation. Springer.
Beni, M. D. (2019). Conjuring cognitive structures: Towards a unified model of cognition. In A. Nepomuceno-Fernández, L. Magnani, F. Salguero-Lamillar, C. Barés-Gómez, & M. Fontaine (Eds.), Model-based reasoning in science and technology. MBR 2018 (pp. 153–172). Springer. https://doi.org/10.1007/978-3-030-32722-4_10
Pietarinen, A.-V., & Beni, M. D. (2021a). Active inference and abduction. Biosemiotics, 1–19. https://doi.org/10.1007/s12304-021-09432-0
Pietarinen, A.-V & Beni, M. D. (2021b). Reinvigorating a 19th-century conception of the scientific method: A Peirce-pective on science. Submitted.
Bobrova, A. & Pietarinen, A.-V. (2020). Two implications and dual-process theories of reasoning. In Pietarinen A.-V., et al. (Eds.), Diagrammatic representation and inference. Lecture notes in computer science 12169. Springer. https://doi.org/10.1007/978-3-030-54249-8_19
Champagne, M., & Pietarinen, A.-V. (2018). Why images cannot be arguments, but moving ones might. Argumentation, 34, 207–236. https://doi.org/10.1007/s10503-019-09484-0
Chen, A. G., Benrimoh, D., Parr, T., & Friston, K. J. (2019). A Bayesian account of generalist and specialist formation under the active inference framework. BioRxiv, 644807. https://doi.org/10.1101/644807.
Chiffi, D., & Pietarinen, A.-V. (2018). Abductive inference within a pragmatic framework. Synthese, 197, 2507–2523. https://doi.org/10.1007/s11229-018-1824-6
Chiffi, D., & Pietarinen, A.-V. (2019a). Risk and values in science: A Peircean view. Axiomathes, 29(4), 329–346. https://doi.org/10.1007/s10516-019-09419-0
Chiffi, D., & Pietarinen, A.-V. (2019b). The extended gabbay-woods schema and sientific practices. Natural Arguments: A Tribute to John Woods on the Occasion of his 80th Birthday (pp. 331–348). College Publications.
Chiffi, D., Pietarinen, A.-V., & Proover, M. (2020). Anticipation, abduction and the economy of research: The normative stance. Futures, 115, 102471. https://doi.org/10.1016/j.futures.2019.102471
Colombo, M., & Hartmann, S. (2015). Bayesian cognitive science, unification, and explanation. The British Journal for the Philosophy of Science, 68(2), axv036. https://doi.org/10.1093/bjps/axv036
Colombo, M., & Wright, C. (2016). Explanatory pluralism: An unrewarding prediction error for free energy theorists. Brain and Cognition. https://doi.org/10.1016/j.bandc.2016.02.003
Cristalli, C., & Pietarinen, A.-V. (2020). Abstraction and generalization in Peirce’s logic of experimental science: Cases from the 19th-century scientific practice. HOPOS: History of Philosophy of Science, 11(1), 93–121. https://doi.org/10.1086/713087
Daw, N. D., Niv, Y., & Dayan, P. (2005). Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control. Nature Neuroscience, 8(12), 1704–1711. https://doi.org/10.1038/nn1560
Dayan, P., Hinton, G. E., Neal, R. M., & Zemel, R. S. (1995). The Helmholtz machine. Neural Computation, 7(5), 889–904.
Friston, K. J. (2009). The free-energy principle: A rough guide to the brain? Trends in Cognitive Sciences, 13(7), 293–301. https://doi.org/10.1016/j.tics.2009.04.005
Friston, K. J. (2010). The free-energy principle: A unified brain theory? Nature Reviews. Neuroscience, 11(2), 127–138. https://doi.org/10.1038/nrn2787
Friston, K. J. (2012a). The history of the future of the Bayesian brain. NeuroImage, 62(2), 1230–1233. https://doi.org/10.1016/j.neuroimage.2011.10.004
Friston, K. J. (2012b). A free energy principle for biological systems. Entropy (Basel, Switzerland), 14(11), 2100–2121. https://doi.org/10.3390/e14112100
Friston, K. J. (2013). Active inference and free energy. Behavioral and Brain Sciences, 36(03), 212–213. https://doi.org/10.1017/S0140525X12002142
Friston, K. J. (2018). Am I self-conscious? Frontiers in Psychology, 9, 579. https://doi.org/10.3389/FPSYG.2018.00579
Friston, K. J., & Frith, C. (2015). A duet for one. Consciousness and Cognition, 36, 390–405. https://doi.org/10.1016/J.CONCOG.2014.12.003
Friston, K. J., Rigoli, F., Ognibene, D., Mathys, C., Fitzgerald, T., & Pezzulo, G. (2015). Active inference and epistemic value. Cognitive Neuroscience, 6(4), 187–214. https://doi.org/10.1080/17588928.2015.1020053
Friston, K. J., Schwartenbeck, P., FitzGerald, T., Moutoussis, M., Behrens, T., & Dolan, R. J. (2013). The anatomy of choice: Active inference and agency. Frontiers in Human Neuroscience, SEP. https://doi.org/10.3389/fnhum.2013.00598
Friston, K. J., & Stephan, K. E. (2007). Free-energy and the brain. Synthese, 159(3), 417–458. https://doi.org/10.1007/s11229-007-9237-y
Gabbay, D. M., & Woods, J. (2005). The reach of abduction. Insight and trial. Elsevier.
Gabbay, D. M., & Woods, J. (2006). Advice on abductive logic. Logic Journal of the IGPL, 14(2), 189–219.
Gaultier, B. (2017). The iconicity of thought and its moving pictures: Following the sinuosities of Peirce’s path. Transactions of the Charles S. Peirce Society, 53(3), 374–399.
Giere, R. N. (1987). The cognitive study of science. In N. Nersessian (Ed.), The process of science: Contemporary philosophical approaches to understanding scientific practice (pp. 139–159). Kluwer Academic Publishers.
Giere, R. N. (2010). An agent-based conception of models and scientific representation. Synthese, 172(2), 269–281. https://doi.org/10.1007/s11229-009-9506-z
Hintikka, J. (2007). Socratic epistemology: Knowledge: Explorations of knowledge-seeking through questioning. Cambridge University Press.
Hohwy, J. (2014). The self-evidencing brain. Noûs, 50(2), 259–285. https://doi.org/10.1111/nous.12062
Knill, D. C., & Pouget, A. (2004). The Bayesian brain: The role of uncertainty in neural coding and computation. TRENDS in Neurosciences, 27(12), 712–719. https://doi.org/10.1016/j.tins.2004.10.007
Ladyman, J., & Ross, D. (2007). Every thing must go. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199276196.001.0001
Magnani, L. (2009). Abductive cognition: The epistemological and eco-cognitive dimensions of hypothetical reasoning. Springer.
Ma, M., & Pietarinen, A.-V. (2018). Let us investigate! Dynamic conjecture-making as the formal logic of abduction. Journal of Philosophical Logic, 47(6), 913–945. https://doi.org/10.1007/s10992-017-9454-x
Mayo, D. G. (2005). Peircean induction and the error-correcting thesis. Transactions of the Charles S Peirce Society, 41(2). https://doi.org/10.1353/csp.2011.0039
Peirce, C. S. (1876). Note on the theory of the economy of research (R 1093). Report of the U. S. Coast Survey for 1876, pp. 197–201. Reprinted in CP 7.76–83.
Peirce, C. S. (1905). Letter draft to Lady Victoria Welby, July 16, 1905 (R L 493). The Peirce Papers, Harvard Houghton Library.
Peirce, C. S. (1913). An essay toward improving our reasoning in security and in uberty (R 682–4). The Peirce Papers, Harvard Houghton Library.
Peirce, C. S. (1931–1966). The collected papers of Charles S. Peirce. 8 vols., ed. by Hartshorne, C., Weiss, P., & Burks, A. W. Cambridge: Harvard University Press. Cited as CP followed by volume and paragraph number.
Peirce, C. S. (1967). Manuscripts in the Houghton Library of Harvard University, as identified by Richard Robin, Annotated Catalogue of the Papers of Charles S. Peirce, Amherst: University of Massachusetts Press, 1967, and in The Peirce Papers: A supplementary catalogue, Transactions of the C. S. Peirce Society 7 (1971), 37–57. Cited as R or R L (letters) followed by manuscript number and, when available, page number.
Peirce, C. S. (1998). The essential Peirce. Volume 2: 1893–1913. Edited by The Peirce Edition Project. Indiana University Press. Cited as EP 2.
Pietarinen, A.-V. (2006). Signs of logic: Peircean themes on language, games, and communication. Springer.
Pietarinen, A.-V. (2014). The science to save us from philosophy of science. Axiomathes, 25, 149–166.
Pietarinen, A.-V., & Bellucci, F. (2014). New light on Peirce's conceptions of retroduction, deduction, and scientific reasoning. International Studies in the Philosophy of Science, 28(4), 353–373.
Pietarinen, A.-V. (2015). Recent studies on signs: Commentary and perspectives. Sign Systems Studies, 43(4), 616–650.
Pietarinen, A.-V. (2018). Conjectures and abductive reasoning in games. Journal of Applied Logics - IfCoLog Journal of Logics and Its Applications, 5(5), 1121–1144.
Pietarinen, A.-V. (2020). Abduction and diagrams. Logic Journal of the IGPL, 29(4), 447–468. https://doi.org/10.1093/jigpal/jzz034
Ramstead, M. J., Kirchhoff, M. D., & Friston, K. J. (2019). A tale of two densities: Active inference is enactive inference. Adaptive Behavior, 105971231986277. https://doi.org/10.1177/1059712319862774
Rao, R. P., & Ballard, D. H. (1999). Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects. Nature Neuroscience, 2(1), 79–87. https://doi.org/10.1038/4580
Rescher, N. (1976). Peirce and the economy of research. Philosophy of Science, 43(1), 71–98. https://doi.org/10.1086/288670
Rescher, N. (1978). Peirce’s philosophy of science: Critical studies in his theory of induction and scientific method. University of Notre Dame Press.
Seth, A. K. (2014). A predictive processing theory of sensorimotor contingencies: Explaining the puzzle of perceptual presence and its absence in synesthesia. Cognitive Neuroscience, 5(2), 97–118. https://doi.org/10.1080/17588928.2013.877880
Shanahan, M. (2005). Perception as abduction: Turning sensor data into meaningful representation. Cognitive Science, 29(1), 103–134. https://doi.org/10.1207/s15516709cog2901_5
Weisberg, M. (2007). Who is a modeler? The British Journal for the Philosophy of Science, 58(2), 207–233. https://doi.org/10.1093/bjps/axm011
Wible, J. R. (1994). Charles Sanders Peirce’s economy of research. Journal of Economic Methodology, 1(1), 135–160. https://doi.org/10.1080/13501789400000009